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http://www.pgbovine.net/cde.html

A software application which automatically packages up the code, data, and environment required to deploy and run Linux programs on other machines without any installation or configuration. Users can prepend any set of Linux commands with the "cde" binary, and CDE will run them and automatically package up all files accessed during execution. A package is a directory that can be compressed and delivered to any x86-Linux machine and contains all the files and environment variables required to run the original commands. After receiving the package, the user can run those same commands from within the package on any modern x86-Linux distro., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: CDE Tool (RRID:SCR_013981) Copy   

•   Source: SciCrunch Registry

http://mouse.cs.ucla.edu/emma/

Statistical test for model organisms association mapping correcting for the confounding from population structure and genetic relatedness. EMMA takes advantage of the specific nature of the optimization problem in applying mixed models for association mapping, which substantially increases the computational speed and the reliability of the results. The current implementation of EMMA is available in an R package. The documentation is included in the installation package.

Proper citation: Efficient Mixed-Model Association (RRID:SCR_008217) Copy   

•   Source: SciCrunch Registry

http://www.phenote.org/

Phenote is both a complete piece of software and a software toolkit designed to facilitate the annotation of biological phenotypes using ontologies. It provides an interface and infrastructure to record genotype-phenotype pairs, together with the provenance for the annotation. Typical users of Phenote include literature curators, laboratory researchers, and clinicians looking for a method to record data in a user-friendly and computable way. Features of Phenote include the use of any OBO-format ontology, ontology navigation and term information display, bulk sort, copy, edit, and delete of phenotype-genotype character entries, and a variety of export formats. Phenote is a project of the Berkeley Bioinformatics Open-Source Projects (BBOP).

Proper citation: Phenote: A Phenotype Annotation Tool using Ontologies (RRID:SCR_008334) Copy   

•   Source: SciCrunch Registry

http://nemo.nic.uoregon.edu/wiki/NEMO_Analysis_Toolkit

THIS RESOURCE IS NO LONGER IN SERVICE. NIH tombstone webpage lists Project Period : 2009 - 2013. The NEMO ERP Analysis Toolkit includes tools for EEG/ERP and MEG data decomposition, and ontology-based mark-up, annotation, and labeling of patterns in EEG and MEG data. These tools have been implemented in MATLAB by Robert Frank, a mathematician and data analyst for NEMO. The current NEMO analysis pipeline has been designed with the aim to support cross-lab, cross-experiment meta-analysis of EEG and MEG data. The current proposed processing pipeline consists of the following steps: * Step 1: Decomposing ERP data (continuous data are transformed into discrete patterns for analysis) o PCA/ ICA/Microstate * Step 2: Marking up the analysis results o Each pattern is annotated with labels that relate pattern attributes to NEMO ontology concepts * Step 3: Clustering the observed patterns within and across experimental groups * Step 4: Labeling the cross-experiment clusters Each item in the above list is a step/phase in the processing pipeline and is associated with a set of matlab scripts in our NEMO ERP Analysis Toolkit, which is implemented by a collection of MATLAB scripts.

Proper citation: NEMO Analysis Toolkit (RRID:SCR_013624) Copy   

•   Source: SciCrunch Registry

https://www.cellosaurus.org/

Database of all cell lines used in biomedical research which include immortalized cell lines, naturally immortal cell lines (stem cells), widely used and distributed finite life cell lines, vertebrate cell lines (majority being human, mouse, and rat), and invertebrate (insects and ticks) cell lines, as well as cell line synonyms. Each cell line is provided with the following information: the recommended name (the name which appears in the original publication), a list of synonyms, a unique accession number, comments on a number of topics including misspellings and gene transfection, information on the tissue/organ origin with the UBERON code, the NCI Thesaurus or Orphanet ORDO code for the disease(s) the individual suffered from (for cancer and human genetic disease lines only), the species of origin, the parent cell line, cross-references of sister cell lines, the sex of the individual, the category in which the cell line belongs (Adult stem cell; Cancer cell line; Embryonic stem cell; Factor-dependent cell line; Finite cell line; Hybrid cell line; Hybridoma; Induced pluripotent stem cell; Spontaneously immortalized cell line; Stromal cell line; Telomerase immortalized cell line; Transformed cell line; Undefined cell line type), web links, publication references, and/or cross-references to cell line catalogs/collections, ontologies, cell lines databases/resources, and to databases that list cell lines as samples.

Proper citation: Cellosaurus (RRID:SCR_013869) Copy   

•   Source: SciCrunch Registry

https://CRAN.R-project.org/package=cluster

Software R package. Methods for Cluster analysis. Performs variety of types of cluster analysis and other types of processing on large microarray datasets.

Proper citation: Cluster (RRID:SCR_013505) Copy   

•   Source: SciCrunch Registry

http://dsarm.niapublications.org/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on February 18, 2014.

A networking site for investigators using animal models to study aging, developed to provide a venue for sharing information about research models for aging studies. If you have tissue or data from animal models relevant to aging research that you are willing to share with other investigators, D-SARM allows you to identify the model and provides a secure, blinded email contact for investigators who would like to contact you about acquiring tissue or related resources. Investigators looking for resources from a particular model enter search terms describing the model of interest and then use the provided link to send emails to the contacts (names blinded) listed in the search results to initiate dialog about tissue or resources available for sharing. The database is housed on a secure server and admission to the network is moderated by the NIA Project Officer and limited to investigators at academic, government and non-profit research institutions. The goal is to provide a secure environment for sharing information about models used in aging research, promoting the sharing of resources, facilitating new research on aging in model systems, and increasing the return on the investment in research models.

Proper citation: Database for Sharing Aging Research Models (RRID:SCR_008691) Copy   

•   Source: SciCrunch Registry

https://neurophysics.ucsd.edu/software.php

Matlab-based routines for the detection and clustering of putative single units from a multi-unit time series, along with quality metrics. This sofwtare was developed by the David Kleinfeld Laboratory at UC San Diego.

Proper citation: UltraMegaSort 2000 (RRID:SCR_015857) Copy   

•   Source: SciCrunch Registry

https://www.qimacros.com/spc-software-for-excel/

A statistical process control (SPC) add-in for Microsoft Excel. The user can select their data and the program will draw the desired chart or run the desired statistical test.

Proper citation: QI Macros (RRID:SCR_014496) Copy   

•   Source: SciCrunch Registry

https://www.charmm.org/charmm/?CFID=66837e22-4ee5-47ba-bcbf-b4b385c2397e&CFTOKEN=0

Software program that simulates molecular interactions. It has features that allow broad application to many-particle systems with a comprehensive set of energy functions, a variety of enhanced sampling methods, and support for multi-scale techniques, and a range of implicit solvent models. It also primarily targets biological systems including peptides, proteins, prosthetic groups, small molecule ligands, nucleic acids, lipids, and carbohydrates, as they occur in solution, crystals, and membrane environments. CHARMM can also be applied to inorganic materials with applications in materials design and has a comprehensive set of analysis and model builiding tools.

Proper citation: CHARMM (RRID:SCR_014892) Copy   

•   Source: SciCrunch Registry

https://github.com/MicrosoftGenomics/FaST-LMM

FaST-LMM (Factored Spectrally Transformed Linear Mixed Models) is a set of tools for efficiently performing genome-wide association studies (GWAS), prediction, and heritability estimation on large data sets.

Proper citation: FaST LMM (RRID:SCR_015506) Copy   

•   Source: SciCrunch Registry

https://support.inscopix.com/search/site/Mosaic

Mosaic software features apps designed to help you derive deeper insights from videos of large scale circuit dynamics by Inscopix Inc.

Proper citation: Mosaic (RRID:SCR_017408) Copy   

•   Source: SciCrunch Registry

http://bioinformatics.org/ghemical/ghemical/index.html

Molecular modelling software package with 3D-visualization tools. It supports methods based on both molecular mechanics and quantum mechanics (using MOPAC7, and MPQC for QM). It contains geometry optimization (for MM and QM) and molecular dynamics (for MM) algorithms.

Proper citation: Ghemical (RRID:SCR_014899) Copy   

•   Source: SciCrunch Registry

https://cran.r-project.org/web/packages/devtools/index.html

Software tools to make developing R packages easier by providing R functions that simplify and expedite common tasks.

Proper citation: devtools (RRID:SCR_016961) Copy   

•   Source: SciCrunch Registry

http://mmrrc.ucdavis.edu/

Center that imports, archives, maintains, and distributes mutant mouse alleles as live mice, frozen germplasm, stem cells, and molecular vectors for use in biomedical research. The MMRRC Davis receives transgenics, knockouts, and other kinds of mutant mouse lines at no cost to the donor, and after re-derivation and cryopreservation, distributes breeding stock, germplasm, cells, or tissues of genetically-defined and pathogen-free mice for a small fee to requesting investigators.

Proper citation: University of California at Davis Mutant Mouse Resource and Research Center (RRID:SCR_016448) Copy   

•   Source: SciCrunch Registry

http://users.sussex.ac.uk/~lionelb/MVGC/

Matlab software toolkit designed to facilitate Granger-causal analysis with multivariate and possibly multi-trial time series data. Annotated demonstration scripts are available which may be used as templates to assist in this the toolbox's functions.

Proper citation: MVGC Multivariate Granger Causality Matlab Toolbox (RRID:SCR_015755) Copy   

•   Source: SciCrunch Registry

http://www.mmrrc.missouri.edu/

Center that supplies mice and conducts research projects focused on the role of mice as animal models. Some of these projects include refinement of models to ensure study reproducibility, as well as development and improvement of economical methods for cryopreservation of mouse strains.

Proper citation: Mutant Mouse Resource and Research Center - University of Missouri (RRID:SCR_016447) Copy   

•   Source: SciCrunch Registry

https://github.com/EpistasisLab/ReBATE

Open source software Python package to compare relief based feature selection algorithms used in data mining. Used for feature selection in any bioinformatics problem with potentially predictive features and target outcome variable, to detect feature interactions without examination of all feature combinations, to detect features involved in heterogeneous patterns of association such as genetic heterogeneity .

Proper citation: ReBATE (RRID:SCR_017139) Copy   

•   Source: SciCrunch Registry

https://sourceforge.net/projects/icacompass/

Algorithm for MATLAB and the EEGLAB toolbox that enables the automatic detection of independent components from an ICA that represent event-related brain potentials. It performs automatic Independent Component (IC) selection with respect to the contributions of the ICs to a certain ERP.

Proper citation: COMPASS (RRID:SCR_015874) Copy   

•   Source: SciCrunch Registry

https://github.com/bionitio-team/bionitio

Open source software tool to provide template for command line bioinformatics tools in various programming languages. Program reads one or more input FASTA files, computes variety of statistics on each file, and prints tabulated output. Used as basis for learning and as foundation for starting new projects.

Proper citation: Bionitio (RRID:SCR_017259) Copy   

•   Source: SciCrunch Registry